An intelligent credit card fraudulent activity detection using hybrid deep learning algorithm
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18793-w.pdf
Reference44 articles.
1. Moumoun L (2022) Application of Machine Learning Techniques for Credit Risk Management: A Survey," Advances in Information, Communication and Cybersecurity: Proceedings of ICI2C’21, vol. 357, p. 180. https://doi.org/10.1007/978-3-030-91738-8_18
2. Mangala D, Soni L (2023) A systematic literature review on frauds in banking sector. J Financial Crime 30:285–301
3. Deepika S, Senthil S (2022) Credit card fraud detection using moth-flame earth worm optimisation algorithm-based deep belief neural network. Int J Electron Secur Digit Forensics 14:53–75
4. Kumar S, Gunjan VK, Ansari MD, Pathak R (2022) Credit card fraud detection using support vector machine. In: Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2021. Springer Singapore, pp 27–37
5. Zhang Z, Zhu S, Mink J, Xiong A, Song L, Wang G (2022) Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱. Proceedings of the ACM Web Conference 2022:699–709
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3